MedTourEasy Logo

MedTourEasy

Machine Learning Engineer

Reposted 4 Hours Ago
In-Office or Remote
Hiring Remotely in United States
1M-1M Annually
Entry level
In-Office or Remote
Hiring Remotely in United States
1M-1M Annually
Entry level
Develop, implement, and deploy scalable machine learning models for healthcare solutions. Collaborate cross-functionally to integrate models, analyze data to improve performance, ensure data quality, and stay current with ML advancements to support patient care and operational efficiency.
The summary above was generated by AI
Company Overview

MedTourEasy, a global healthcare company, provides you the informational resources needed to evaluate your global options. MedTourEasy provides analytical solutions to our partner healthcare providers globally.

Job Title

Machine Learning Engineer

Job Location
  • Bengaluru, India

  • Gurgaon, India

  • New Delhi, India

  • Noida, India

  • International

Years of Experience

0-5 years

Job Description

As a Machine Learning Engineer at Medtoureasy, you will be at the forefront of developing and implementing machine learning models that drive our innovative healthcare solutions. You will collaborate with cross-functional teams to design, build, and deploy scalable machine learning systems that enhance patient care and operational efficiency. Your role will involve leveraging advanced machine learning techniques, ensuring model accuracy, and contributing to the continuous improvement of our healthcare services.

Key Responsibilities
  • Design and develop machine learning models to solve complex healthcare challenges.

  • Implement scalable and efficient machine learning algorithms and systems.

  • Collaborate with cross-functional teams to integrate machine learning solutions into existing workflows.

  • Analyze and interpret data to improve model performance and accuracy.

  • Stay updated with the latest advancements in machine learning and healthcare technology.

  • Ensure the integrity and quality of data used in model training and evaluation.

  • Contribute to the development of innovative healthcare solutions through machine learning insights.

Required Skills
  • Strong understanding of machine learning algorithms and techniques.

  • Proficiency in programming languages such as Python, R, or Java.

  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

  • Excellent problem-solving and analytical skills.

  • Strong communication and collaboration abilities.

  • Ability to work in a fast-paced, dynamic environment.

  • Commitment to continuous learning and staying updated with the latest machine learning trends.

Why Join Us?

At Medtoureasy, you will be part of a dynamic team that is passionate about transforming healthcare through data-driven insights and machine learning. We offer a collaborative work environment, opportunities for professional growth, and the chance to make a meaningful impact in the healthcare industry.

Similar Jobs

Yesterday
In-Office or Remote
120K-215K Annually
Senior level
120K-215K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, and deploy secure AI/ML and full-stack solutions for healthcare underwriting and benefits modernization. Build RAG pipelines, integrate LLMs and agentic AI capabilities, develop Python-based machine learning systems, and expose models through production APIs. Collaborate with engineering, architecture, product, data, and underwriting teams while ensuring model availability, security, performance, testing, monitoring, and responsible AI use.
Top Skills: Agentic AiAngularAWSAzureCi/CdDockerEmbeddingsFastapiFlaskGCPGenerative AiGitHugging FaceJavaScriptKubernetesLangchainLarge Language ModelsLlm OrchestrationMcpMlopsModel Context ProtocolNumpyPandasPythonPyTorchReactRestful ApisRetrieval-Augmented GenerationScikit-LearnSemantic SearchTensorFlowTypescriptVector Databases
6 Days Ago
Remote or Hybrid
Mid level
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, develop, and operate scalable VoIP infrastructure supporting AI-driven voice workloads. Integrate telephony systems, LLM applications, and real-time communication platforms while improving observability, reliability, deployment, and SRE practices. Build tested, maintainable software across telephony and AI layers, support production environments, collaborate with engineering and product teams, and mentor colleagues.
Top Skills: AnsibleFreeswitchGitlab CiGoHelmInfrastructure As CodeJavaKamailioKubernetesLlmsPrometheusPstnPythonRtpengineSbcsSip/RtpSoftware-Defined NetworkingSplunk
6 Days Ago
Remote or Hybrid
176K-308K Annually
Mid level
176K-308K Annually
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Develop and operate scalable VoIP infrastructure supporting AI-driven voice workloads. Build telephony platforms, observability features, and LLM integrations across SIP/RTP, Kamailio, RTPEngine, and related systems. Collaborate with engineering, product, infrastructure, and SRE teams on deployments, production support, automation, testing, and platform reliability. Mentor colleagues and promote engineering best practices across telecom and AI disciplines.
Top Skills: AnsibleCloud-Native SoftwareConfiguration ManagementDevOpsDistributed SystemsFreeswitchGitlab CiGoHelmInfrastructure As CodeJavaKamailioKubernetesLlmsPrometheusPrompt EngineeringPstnPythonRtpRtpengineSession Border ControllersSipSoftware-Defined NetworkingSplunkSre

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account